I also ran the filipelli data through both the regression technique that I am working on, and the current multiple regression package. My work in progress gets estimates which though not great are close to the certified values. OLSMultipleLinearRegression exceptions out, complaining about a singular matrix.
On Mon, Jul 11, 2011 at 11:07 PM, Greg Sterijevski <gsterijev...@gmail.com>wrote: > Yes, my apologies. I am a bit new to this. > > > > On Mon, Jul 11, 2011 at 10:59 PM, Henri Yandell <flame...@gmail.com>wrote: > >> I'm assuming this is Commons Math. I've added a [math] so it catches >> the interest of those involved. >> >> >> On Mon, Jul 11, 2011 at 8:52 PM, Greg Sterijevski >> <gsterijev...@gmail.com> wrote: >> > Additionally, I pass all of the Wampler beta estimates. >> > >> > On Mon, Jul 11, 2011 at 10:40 PM, Greg Sterijevski >> > <gsterijev...@gmail.com>wrote: >> > >> >> Hello All, >> >> >> >> I am testing the first 'updating' ols regression algorithm. I ran it >> >> through the Wampler1 data. It gets 1.0s for all of the beta estimates. >> I >> >> next ran the Longley dataset. I match, but with a tolerance of 1.0e-6. >> This >> >> is a bit less than two orders of magnitude worse than the current >> incore >> >> estimator( 2.0e-8). My question to the list, is how important is this >> diff? >> >> Is it worth tearing things apart to figure out where the error is >> >> accumulating? >> >> >> >> Thanks, >> >> >> >> -Greg >> >> >> > >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@commons.apache.org >> For additional commands, e-mail: dev-h...@commons.apache.org >> >> >
